MDA process to extract the data model from a document-oriented NoSQL database

Amal Aït Brahim (1) , Rabah Tighilt Ferhat (1) , Gilles Zurfluh (1, 2)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 UT Capitole - Université Toulouse Capitole

In recent years, the need to use NoSQL systems to store and exploit big data has been steadily increasing. Most of these systems are characterized by the property "schema less" which means absence of the data model when creating a database. This property brings an undeniable flexibility by allowing the evolution of the model during the exploitation of the base. However, query expression requires a precise knowledge of the data model. In this article, we propose a process to automatically extract the physical model from a document-oriented NoSQL database. To do this, we use the Model Driven Architecture (MDA) that provides a formal framework for automatic model transformation. From a NoSQL database, we propose formal transformation rules with QVT to generate the physical model. An experimentation of the extraction process was performed on the case of a medical application.

Mots clés: Big Data; NoSQL; Model Extraction; Schema Less; MDA; QVT

Domaines: Base de données [cs.DB]

Amal Aït Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh. MDA process to extract the data model from a document-oriented NoSQL database. 21st International Conference on Enterprise Information Systems (ICEIS 2019), May 2019, Heraklion, Greece. pp.141-148, ⟨10.5220/0007676201410148⟩. ⟨hal-02886696⟩